CALM Energy sells machine learning based decision support systems and services to electric utilities and we partner with these utilities, and other channel partners, to install our intelligent energy saving building management system in buildings that securely communicate with the utility to leverage on-site distributed energy resources.

Watchdog Smart Node Controller (Watchdog) when installed in buildings automatically and continuously reduces a building’s energy costs and enables the building to interoperate with C2SOS. Watchdog communicates with the internet of things within a building including HVAC, energy storage, emergency generation, lighting systems, and appliances.

Command and Control System of Systems (C2SOS) helps utilities and micro-grid owners improve operational energy efficiency, security, and reliability.

Watchdog, with its Energy Optimizer capability, when installed in a building learns the building’s dynamics. With this knowledge it efficiently monitors and controls your energy assets automatically and continuously to maintain comfort while reducing your energy costs. Save up to 30% on your building energy costs through the installation of our Watchdog building management system that provides the automated computational intelligence needed to save you money.

Watchdog communicates with your HVAC, lighting, and appliances providing a means to change the behavior of your energy consuming and energy producing assets to save on energy and operational costs. Watchdog also monitors your home or business and detects when things are not working correctly and let’s you know about it on your terms. If you have interest in knowing more about our energy saving Watchdog, leave us your contact info and we’ll get back to you.

Managing electricity supply and demand imbalances on an automatic and continuous basis given intermittent and unreliable electric supply resources, such as contracts with wind power providers or distributed generation, requires intelligent decision support capabilities in order to initiate optimal demand response and supply response while also managing reliability and sustainability.

Electric grids are dominated by risk from uncertainties such as weather, market variations, transportation, logistics, and asset reliability. But through learned knowledge of these uncertainties predictions of how a situation will most likely unfold creates enormous opportunities for profitability and to mitigate bad events from taking place. Risk as it relates to environmental sustainability, energy performance, and service reliability dominate board room discussions, but are poorly quantified, understood, or actively managed from a risk management perspective in planning, engineering, or every day operations. These uncertainties and accompanying business inefficiencies can be continuously acted on by use of our computational decision-making control system. This intelligent decision making platform enables rich opportunities to improve a firm’s profitability by mitigating or containing emergent and emergency situations.